This study uses time-series techniques and econometric approaches in order to quantify the effects that organising an EU presidency
has on the tourism exports of a country. The approach to explain tourism revenues by a time-series intervention model filters
out special effects (data discontinuations, exchange rates, events, media reports, etc.) by outlier detection methods, maps
influences from trends, the business cycle and seasonal effects in an ARIMA model and depicts the effect of an EU presidency
by way of an intervention variable. Using econometric indicator approaches, a country's tourism exports are controlled for
seasonal and special influences, habitual effects and demand trends by way of suitable indicators, and a dummy variable is
used to test whether the EU presidency made a statistically significant contribution to the revenues from tourism.